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422 results for “Texturing”
Effect of pre-twinning on deformation behavior of [0001]-textured nanocrystalline Mg: a molecular dynamics study
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FIGURE 9 in Paleoecology of the Rhinocerotidae (Mammalia, Perissodactyla) from Béon 1, Montréal-du-Gers (late early Miocene, SW France): Insights from dental microwear texture analysis, mesowear, and enamel hypoplasia
FIGURE 9. Prevalence of hypoplasia (all types) by species and tooth locus. A- Number of hypoplastic teeth (dark colors) compared to the number of healthy teeth (light colors). B- Frequency of hypoplastic teeth (dark colors) and healthy teeth (light colors). White stands for non-documented loci.
FIGURE 4 in Paleoecology of the Rhinocerotidae (Mammalia, Perissodactyla) from Béon 1, Montréal-du-Gers (late early Miocene, SW France): Insights from dental microwear texture analysis, mesowear, and enamel hypoplasia
FIGURE 4. The three different types of hypoplasia considered in this study and the associated measurements. A- Lingual view of right M2 of the specimen MHNT.PAL.2004.0.58 (H. beonense) displaying three types of hypoplasia. B- Interpretative drawing of the photo in A illustrating the hypoplastic defects: a- pitted hypoplasia, b- linear enamel hypoplasia, and c- aplasia. C- Interpretative drawing of the photo in A illustrating the measurements: 1- distance between the base of the defect and the enamel-dentin junction, 2- width of the defect (when applicable).
FIGURE 3 in Paleoecology of the Rhinocerotidae (Mammalia, Perissodactyla) from Béon 1, Montréal-du-Gers (late early Miocene, SW France): Insights from dental microwear texture analysis, mesowear, and enamel hypoplasia
FIGURE 3. Principle of mesowear scoring with the main variables illustrated (occlusal relief and cusp shape) and examples on rhinocerotid teeth. A- Typically two parameters are studied in mesowear: cusp shape and occlusal relief. Cusp shape can be sharp, round or blunt, while occlusal relief is whether high or low. Illustration on the upper right M1 of the specimen MHNT.PAL.2004.0.58 (H. beonense). Examples of mesowear scores using the three methods tested in this study (ScoreA, ScoreB, Ruler) are provided on the paracone of the following specimens: B- Right D4 of MHNT.PAL.2015.0.1204 (G2 685; Pl. mirallesi), C- Left M1 and M2 MHNT.PAL.2015.0.277 (Pr. douvillei), D- Left D4 of MHNT.PAL.2015.0.1204 (Béon F2 193; Pl. mirallesi), E- Left D3 and D4 of MHNT.PAL.2015.0.2796 (Pr. douvillei). ScoreA: mesowear score based on Winkler and Kaiser (2011); B- ScoreB: mesowear score adapted from Fortelius and Solounias (2000); C- Ruler: mesowear score based on Mihlbachler et al. (2011).
FIGURE 6 in Paleoecology of the Rhinocerotidae (Mammalia, Perissodactyla) from Béon 1, Montréal-du-Gers (late early Miocene, SW France): Insights from dental microwear texture analysis, mesowear, and enamel hypoplasia
FIGURE 6. Comparison of hand- and sand-prepared DMTA surfaces (200x200 µm) by species. Topography and black and white photosimulation of the following specimens: B. brachypus – hand-prepared MHNT.PAL.2015.0.1262 right m3 (protoconid, shearing facet) and sand-prepared MHNT.PAL.2015.0.2830 left m2 (hypoconid, shearing facet); Pr. douvillei – hand prepared MHNT.PAL.2015.0.1228 left m3 (protoconid, grinding facet) and sand-prepared MHNT.PAL.2015.0.2758 left m2 ptc (protoconid, grinding facet); Pl. mirallesi – hand-prepared MHNT.PAL.2015.0.1196 left m2 ptc (protoconid, shearing facet) and sand-prepared MHNT.PAL.2015.0.2794 (2002 E2 30) left m1 (hypoconid, shearing facet); H. beonense – hand-prepared MHNT.PAL.2015.0.1140 left m1 (hypoconid, grinding facet) and sand-prepared MHNT.PAL.2015.0. 1136.1 right M3 (protocone, grinding facet).
FIGURE 2 in Paleoecology of the Rhinocerotidae (Mammalia, Perissodactyla) from Béon 1, Montréal-du-Gers (late early Miocene, SW France): Insights from dental microwear texture analysis, mesowear, and enamel hypoplasia
FIGURE 2. Localization of the microwear facets on rhinocerotid molars. Position of the two microwear facets (grinding and shearing) on the second upper molar (left) and second lower molar (right). Both facets are sampled on the same enamel band with (grinding) or without (shearing) Hunter-Schreger bands (HSB). Modified after Hullot et al. (2019).
3D model of the stone surface with texture - Application of Forensic Photogrammetry and 3D Modelling to Improve Epigraphic Reading: Study of the Roman Altar of Gravesano (Ticino, Switzerland)
<p>Video of the 3D model of the stone surface with textures.</p>
Data sources of soil textures.
<p>S1: Soil information from China, other regions of the world, and the Moon, including their locations, soil textures, specimen numbers, and data sources (references), is presented.</p> <p>S2: Data on grain size distribution for unimodal, bimodal, trimodal, and multimodal distributions are presented.</p> <p>S3: Grain size distribution data for soils from the earth.</p> <p>S4: Grain size distribution data for soils from the moon.</p> <p>S5: Matlab code for simulating soils from source areas.</p> <p> </p>
Dataset of images SfM - FRM - Lighting and Artificial texture - JPG
<p>This collection of images was employed to examine the impact of various configurations in the 3D modeling process for short-distance environments. This analysis established settings to achieve submillimeter accuracy in the RMSE values of the analyzed points. </p> <p>Set of images used to evaluate the use of light aids (softboxes) and artificial textures in a short-distance environment. This set was used to evaluate the configurations and the possibility of using the SfM technique in the 3D modeling of structural tests. Test specimens used (Concrete, Metal and Wood)—artificial texture in white Chalk (on Concrete and Wood) and red marker (on metal).<br>Texture patterns were drawn in a checkerboard fashion (T1) and a more closed checkerboard shape (T2).</p> <p>Images in JPG without compression.</p>
Context-Dependent Effects of a Reintroduced Ungulate on Soil Properties are Driven by Soil Texture, Moisture and Herbivore Activity
<p>Although there is considerable evidence that large mammalian herbivores influence ecosystem-level processes, studies have reported such widely varying results that generalizations have remained elusive. Here, we use an 18-year-old exclosure experiment – stratified across a landscape heterogeneous with respect to soil texture, moisture and herbivore activity – to understand the variable effects of tule elk (<i>Cervus canadensis nannodes</i>), a native reintroduced herbivore, on soil properties along the coast of northern California. Elk significantly increased soil bulk density and created a compacted layer at shallow soil depth, while decreasing infiltration rate and pH. The effects of elk on bulk density, penetration resistance and pH varied with soil type, being least pronounced in coarse, sandy loams and greatest in loose sand. The effects of elk on nutrient availability varied along gradients of soil texture and moisture. In coarser soils, elk decreased ammonium availability, but increased it in finer soils. Elk also decreased soil moisture content, in part through their positive effect on bulk density, and this effect was most pronounced in coarser soils. Through decreasing soil moisture content, elk also decreased nitrate availability in coarser soils. At greater levels of elk activity (as measured by dung deposition), the elk effect on bulk density was amplified, and this had a corresponding negative effect on nitrate and phosphate availability. Our study has demonstrated that a better understanding of spatial variation in the effects of herbivores on ecosystems can emerge by evaluating their influences across gradients of soil texture, soil moisture, and herbivore activity. These data enabled us to evaluate several frameworks that have been developed to understand the variable effects of herbivores on ecosystems, which is a significant step in reconciling the many competing ideas put forth to explain the context-dependent effects of large herbivores on grazed ecosystems.</p>
Figure 11 in Growth and textural ageing in long bones of the American alligator Alligator mississippiensis (Crocodylia: Alligatoridae)
Figure 11. Relationships between bone texture type and femur length body-size proxy for individuals with known habitat. A, femora. B, tibiae. C, humeri.
Figure 5 in Growth and textural ageing in long bones of the American alligator Alligator mississippiensis (Crocodylia: Alligatoridae)
Figure 5. Relationships between femur length body-size proxy and element percentage maturity based on cluster analyses of long bone landmarks. A, femora: three individuals 25% mature, 21 individuals 50% mature, 61 individuals 75% mature, 24 individuals 100% mature. B, tibiae: one individual 0% mature, 16 individuals 33% mature, 24 individuals 67% mature, four individuals 100% mature. C, humeri: three individuals 0% mature, seven individuals 33% mature, 32 individuals 67% mature, six individuals 100% mature.
Figure 2 in Bone surface texture as an ontogenetic indicator in long bones of the Canada goose Branta canadensis (Anseriformes: Anatidae)
Figure 2. Strict consensus trees resulting from parsimony analyses. Numbered ontogenetic stages are defined in Table 4. Femur: strict consensus of four trees, tree length = 28, consistency index = 0.7500. Tibiotarsus: strict consensus of 40 trees, tree length = 31, consistency index = 0.6452. Humerus: strict consensus of six trees, tree length = 19, consistency index = 0.8333.
HyTexiLa: High Resolution Visible and Near Infrared Hyperspectral Texture Images
<p>We present a dataset of close range hyperspectral images of materials that span the visible and near infrared spectrums: HyTexiLa (Hyperspectral Texture images acquired in Laboratory). The data is intended to provide high spectral and spatial resolution reflectance images of 112 materials to study spatial and spectral textures. In this paper we discuss the calibration of the data and the method for addressing the distortions during image acquisition. We provide a spectral analysis based on non-negative matrix factorization to quantify the spectral complexity of the samples and extend local binary pattern operators to the hyperspectral texture analysis. The results demonstrate that although the spectral complexity of each of the textures is generally low, increasing the number of bands permits better texture classification, with the opponent band local binary pattern feature giving the best performance.</p>
Textural and compositional dataset of fluvial and aeolian sand in the Yarlung Tsangpo dune system
<p>The dataset comprises 5 tables including sample information, grain size distributions, grain roundness, sand petrography and heavy-mineral tables. The sample information table includes River/Dune types, names, locality, collected people, collected year and spatial coordinate, whereas other tables provide detailed sand textural and compositional information. The detailed textural and compositional dataset allow us to evaluate the differences between fluvial and aeolian sand in the river-fed Yarlung Tsangpo system, and The "multiple window" approach provides opportunity to explore intersample and intrasample variability, and help to understand the grain-size control on sand texture and composition. The dataset is a supplement to the manuscript "Fluvial-aeolian interaction and compositional variability in the river-fed Yarlung Tsangpo dune system (southern Tibet)" by Liang et al. (2023) submitted to JGR: Earth Surface. The data should <strong>NOT</strong> be used commercially.</p>
Low-Poly Viking Longhouse (Texturized)
Just a simple longhouse. Enjoy ;) Source: Objaverse 1.0 / Sketchfab
European New Texture Implant Clinical Experience With Round Breast Implants
ClinicalTrials.gov study NCT01639742. IPD Sharing: Not stated. Countries: 3. Publications: 0.
Taste, Fat Sensation and Texture Study
ClinicalTrials.gov study NCT03233503. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Clinical Study to Evaluate the Performance of Fractional Radiofrequency for Improvement of Skin Texture Via Skin Resurfacing and Wrinkles Reduction
ClinicalTrials.gov study NCT00887913. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Response to Pembrolizumab in Metastatic Melanoma: Computed Tomography Texture Analysis as a Predictive Biomarker
ClinicalTrials.gov study NCT02740920. IPD Sharing: NO. Countries: 1. Publications: 0.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.